Neural network ensembles

Simple item page
dc.contributor.advisorCloete, Ian
dc.contributor.authorDe Jongh, Albert
dc.contributor.otherStellenbosch University. Faculty of Science. Dept. of Mathematical Sciences.en_ZA
dc.date.accessioned2012-08-27T11:33:12Z
dc.date.available2012-08-27T11:33:12Z
dc.date.issued2004-04
dc.descriptionThesis (MSc)--Stellenbosch University, 2004.en_ZA
dc.description.abstractENGLISH ABSTRACT: It is possible to improve on the accuracy of a single neural network by using an ensemble of diverse and accurate networks. This thesis explores diversity in ensembles and looks at the underlying theory and mechanisms employed to generate and combine ensemble members. Bagging and boosting are studied in detail and I explain their success in terms of well-known theoretical instruments. An empirical evaluation of their performance is conducted and I compare them to a single classifier and to each other in terms of accuracy and diversity.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Dit is moontlik om op die akkuraatheid van 'n enkele neurale netwerk te verbeter deur 'n ensemble van diverse en akkurate netwerke te gebruik. Hierdie tesis ondersoek diversiteit in ensembles, asook die meganismes waardeur lede van 'n ensemble geskep en gekombineer kan word. Die algoritmes "bagging" en "boosting" word in diepte bestudeer en hulle sukses word aan die hand van bekende teoretiese instrumente verduidelik. Die prestasie van hierdie twee algoritmes word eksperimenteel gemeet en hulle akkuraatheid en diversiteit word met 'n enkele netwerk vergelyk.af_ZA
dc.format.extent104 leaves : ill.
dc.identifier.urihttp://hdl.handle.net/10019.1/50035
dc.language.isoen_ZA
dc.publisherStellenbosch : Stellenbosch Universityen_ZA
dc.rights.holderStellenbosch Universityen_ZA
dc.subjectNeural networks (Computer science)en_ZA
dc.subjectSet theoryen_ZA
dc.subjectBootstrap aggregatingen_ZA
dc.subjectBoostingen_ZA
dc.subjectDissertations -- Computer scienceen_ZA
dc.subjectTheses -- Computer scienceen_ZA
dc.subjectDissertations -- Mathematical sciencesen_ZA
dc.subjectTheses -- Mathematical sciencesen_ZA
dc.titleNeural network ensemblesen_ZA
dc.typeThesis
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
dejongh_neural_2004.pdf
Size:
24.14 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Masters Degrees (Mathematical Sciences)